Predicting risk of postpartum haemorrhage: a systematic review

Charlotte Neary, Sanobar Naheed, David McLernon, Mairead Black* (Corresponding Author)

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

48 Citations (Scopus)
7 Downloads (Pure)

Abstract

Background: Postpartum haemorrhage (PPH) causes substantial morbidity and mortality worldwide. A reliable prognostic tool for PPH has potential to aid prevention efforts. Objective: Systematically to identify and appraise prognostic modelling studies for prediction of PPH. Search strategy: MEDLINE, Embase, CINAHL and the Cochrane Library were searched using a combination of terms and synonyms including ‘prediction tool’, ‘risk score’ and ‘postpartum haemorrhage’. Selection criteria: Any observational or experimental study developing a prognostic model for women's risk of PPH. English language publications. Data collection and analysis: Predesigned data extraction form to record: data source; participant criteria; outcome; candidate predictors; actual predictors; sample size; missing data; model development; model performance; model evaluation; interpretation. Main results: Of 2146 citations screened, 14 studies were eligible for inclusion. Studies addressed populations of women who experienced placenta praevia, placenta accreta spectrum, vaginal birth, caesarean birth (CS) and the general obstetric population. All studies were at high risk of bias due to low sample size, no internal validation, suboptimal or no external validation or no reporting or handling of missing data. Five studies raised applicability concerns. Three externally validated and three internally validated studies show potential for robust external validation. Conclusion: Of 14 prognostic models for PPH risk, three have some potential for clinical use: in CS, in placenta accreta spectrum disorders with MRI placental Evaluation and in placenta praevia. Future research requires robust internal and external validation of existing tools and development of a model for use in the general obstetric population. Tweetable abstract: Current PPH prediction tools need external validation: one for CS, one for placenta praevia and one for placenta accreta. Tools are needed for labouring women.

Original languageEnglish
Pages (from-to)46-53
Number of pages8
JournalBJOG-An International Journal of Obstetrics and Gynaecology
Volume128
Issue number1
Early online date5 Aug 2020
DOIs
Publication statusPublished - Jan 2021

Bibliographical note

Funding
This study received no external or specific source of funding.

Keywords

  • Postpartum haemorrhage
  • prediction model
  • prediction too
  • prediction tool
  • SCORING MODEL
  • PREGNANCIES
  • TRANSFUSION
  • PLACENTA PREVIA
  • VALIDATION
  • DELIVERY

Fingerprint

Dive into the research topics of 'Predicting risk of postpartum haemorrhage: a systematic review'. Together they form a unique fingerprint.

Cite this